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All Journal JURNAL SISTEM INFORMASI BISNIS CommIT (Communication & Information Technology) ComTech: Computer, Mathematics and Engineering Applications Infotech: Journal of Technology Information Jurnal Teknik Informatika (JUTIF) Indonesian Journal of Mathematics Education NAWASENA: Journal of Community Service
Eka Miranda, Eka
Jurusan Sistem Informasi, Fakultas Ilmu Komputer, Universitas Bina Nusantara, Jln. K.H. Syahdan No.9, Palmerah, Jakarta Barat 11480
Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Mathematics Public Health

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PENGEMBANGAN BUSINESS INTELLIGENCE BAGI PERKEMBANGAN BISNIS PERUSAHAAN Miranda, Eka
CommIT (Communication and Information Technology) Journal Vol 2, No 2 (2008): CommIT Vol. 2 No. 2 Tahun 2008
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v2i2.501

Abstract

This article discusses the Business Intelligence and its role to improve the company’s competitive advantage through the utilization of various data, information and knowledge held by the company as a raw material in the decision making process. This article also explains the elements of Business Intelligence applications, Business Intelligence Environment, integrating BI into the enterprise and the challenges faced by organizations in giving effect to Business Intelligence.Keywords: Business Intelligence, business decision
Perancangan Model Data Warehouse dan Perangkat Analitik untuk Memaksimalkan Proses Pemasaran Hotel: Studi Kasus pada Hotel Abc Miranda, Eka
ComTech: Computer, Mathematics and Engineering Applications Vol 4, No 1 (2013): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v4i1.2731

Abstract

The increasing competition in hotel business forces every hotel to be equiped with analysis tools that can maximize its marketing performance. This paper discusses the development of a data warehouse model and analytic tools to enhance the company's competitive advantage through the utilization of a variety of data, information and knowledge held by the company as a raw material in the decision making process. A study is done at ABC Hotel which uses a database to save the transactional record. However, the database cannot be directly used to support analysis and decision making process. Based on this issue, the company needs a data warehouse model and analytic tools that can be used to store large amounts of data and also potentially to gain a new perspective of data distribution which allows to provide reporting and answers of ad hoc users questions and assist managers in making decisions. Further data warehouse model and analytic tools can be used to help manager to formulate planning and marketing strategies. Data are collected through interviews and literature study, followed by data analysis to analyze business processes, to identify the problems and the information to support analysis process. Furthermore, data warehouse is designed using analysis of records related to the activities in hotel's marketing area and data warehouse model. The result of this paper is data warehouse model and analytic tools to analyze the external and transactional data and to support decision making process in marketing area.
Implementasi Data Warehouse dan Data Mining: Studi Kasus Analisis Peminatan Studi Siswa Miranda, Eka
ComTech: Computer, Mathematics and Engineering Applications Vol 2, No 1 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i1.2705

Abstract

This paper discusses the implementation of data mining and their role in helping decision-making related to students’ specialization program selection. Currently, the university uses a database to store records of transactions which can not directly be used to assist analysis and decision making. Based on these issues then made the data warehouse design used to store large amounts of data and also has the potential to gain new data distribution perspectives and allows to answer the ad hoc question as well as to perform data analysis. The method used consists of: record analysis related to students’ academic achievement, designing data warehouse and data mining. The paper’s results are in a form of data warehouse and data mining design and its implementation with the classification techniques and association rules. From these results can be seen the students’ tendency and pattern background in choosing the specialization, to help them make decisions. 
Data Mining Untuk Menganalisis Gagal Serah Dana Pada Transaksi Jual Beli Saham Miranda, Eka; Yonathan, Hans; Lokanatha, Ivander G.; Suryawan, Josep Benedictus
ComTech: Computer, Mathematics and Engineering Applications Vol 5, No 1 (2014): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v5i1.2601

Abstract

Competitive environment among investment firms encourage them to be able to conduct analysis related to investments activities with the potential failure of transfers’ funds. The purpose of this writing is to analyze the needs of the information required in the process of analysis the potential failure of funds transferring in a process of buying and selling stocks and using data mining techniques (Clustering) to support analysis process of the failure of fund transfrerring in a process of buying and selling stocks . Data collection methods used in this study consists of: Literature study, interviews and observations. While the implementation phase of data mining techniques consist of: Data Cleaning, Data Integration, Data Selection, Data Transformation, Data Mining, Pattern Evaluation and Knowledge Presentation. Data mining technique is used to analyze the data in order to know which transactions can lead to failed transfers funds and group them based on Receiving Failure. The clustering result will produce knowledge that is useful in the decision making especially to the top management level. The conclusions of this writing is using data mining techniques that have been designed in this writing, help the management take decisions with more precise so as to avoid losses for company.
Desain Data Warehouse pada Sistem Informasi Sumber Daya Manusia Sub-Sistem Rekrutmen Miranda, Eka
ComTech: Computer, Mathematics and Engineering Applications Vol 3, No 1 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i1.2416

Abstract

Employees as a resource management are essential to improve the effectiveness of company’s performance and process efficiency. This paper discusses the implementation of data warehouse and its role in assisting the decision making related to recruitment activities undertaken by Human Resources Department. In this research built a data warehouse design to store large amounts of data and to gain potentially a new perspective of data distribution as well as to provide reports and solutions for users the ad hoc question and to analyze the transactional data. This study aims to design a data warehouse to support accurate decision making related to human resource management in order to create high performance productivity. The method used in this paper consists of: (1) data collection using interview and literature study related to employee recruitment and (2) data warehouse design derived from Teh Ying Wah et al. This research results in a data warehouse design and its implementation to analyze transactional data from the related activities of recruitment and employee management to support decision making.
Perancangan Model Hirarki Keputusan dan Sistem Basis Data pada Sistem Informasi Sumber Daya Manusia Sub-Sistem Rekrutmen dengan Metode Berjenjang Miranda, Eka; Julisar, Julisar
ComTech: Computer, Mathematics and Engineering Applications Vol 4, No 1 (2013): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v4i1.2733

Abstract

Management of employees as a resource is essential to enhance the effectiveness of employee’s performance, and the process efficiency of for organizations or companies. Possible problems related to the management of human resources need to be diagnosed which one to be solved as a priority. The problem is how to design the decision making model to help the Human Resource Department in determining the criteria for recruitment which can be used to take decisions on recruitment of human resources. This research aims to design a model of decision making systems and databases to support accuracy of decision making in human resource information system to create high loyalty and productivity so that the productivity of the company can be further improved. The research is divided into two phases: collection as well as analysis of data and design model. Specifically target to be achieved in this research are to identify the critical success factors of the model of decision making system for recruitment and develop models of decision-making system. The results obtained from this research are hierarchical decision models using analytical hierarchy process and its database design for the recruitment sub-system of human resource.
Implemetasi Data Warehouse pada Bagian Pemasaran Perguruan Tinggi Miranda, Eka; Rudy, Rudy; Suryani, Eli
ComTech: Computer, Mathematics and Engineering Applications Vol 3, No 1 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i1.2417

Abstract

Transactional data are widely owned by higher education institutes, but the utilization of the data to support decision making has not functioned maximally. Therefore, higher education institutes need analysis tools to maximize decision making processes. Based on the issue, then data warehouse design was created to: (1) store large-amount data; (2) potentially gain new perspectives of distributed data; (3) provide reports and answers to users? ad hoc questions; (4) perform data analysis of external conditions and transactional data from the marketing activities of universities, since marketing is one supporting field as well as the cutting edge of higher education institutes. The methods used to design and implement data warehouse are analysis of records related to the marketing activities of higher education institutes and data warehouse design. This study results in a data warehouse design and its implementation to analyze the external data and transactional data from the marketing activities of universities to support decision making.
Pemakaian E-Commerce untuk Usaha Kecil dan Menengah Guna Meningkatkan Daya Saing Julisar, Julisar; Miranda, Eka
ComTech: Computer, Mathematics and Engineering Applications Vol 4, No 2 (2013): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v4i2.2486

Abstract

One key to the success of Small and Medium Enterprises (SMEs) is the availability of a clear market for the products. Meanwhile, the fundamental weaknesses faced by SMEs in marketing are low market orientation, weakness in a complex and sharp competition and inadequate marketing infrastructure. Faced with an increasingly open market mechanisms and competitive, market control is prerequisite for improving competitiveness. Therefore, expansion of market access with Web-based Information Technology is now needed as a medium for global communication. One thing that gives a competitive advantage in international trade competition is information technology of electronic commerce or e-commerce. This paper shows the important role of e-commerce for SMEs in Indonesia and how to model the development of e-commerce. This paper intends to show the important role of e-commerce for SMEs in Indonesia and how to model the development of ecommerce.
Data Warehouse, Data Mining Dan Konsep Cross-Selling Pada Analisis Penjualan Produk Miranda, Eka; Elfreida, Natalya
ComTech: Computer, Mathematics and Engineering Applications Vol 1, No 2 (2010): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v1i2.2368

Abstract

This paper is about designing and implementing data warehousing and data mining, along with their roles in supporting decision-making related to sales product analysis in cross-selling concept of PT XYZ. The database the company used is not supporting data analysis and decision-making. Therefore, it made a data warehousing design that could be used to keep data in a huge amount and could give report and answer from user?s questions in ad hoc. The method is used to design and implement data warehousing and data mining which consists of literature study, company problem analysis, and data warehousing design, and testing result. The writing results are a data warehousing design and data mining and also the implementation of cross-selling concept to analysis the sales, purchases, and customers? cancellation data. The data could be showed and analyzed from some point of views that could help managers to analyse and acknowledge more information. 
Desain Business Intelligence untuk Manajemen Rumah Sakit Miranda, Eka; Firmansyah, Firmansyah; Emerald, Davies Ezra
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 11, No 1 (2021): Volume 11 Nomor 1 Tahun 2021
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol11iss1pp62-69

Abstract

Organizational management, as well as hospital management, could not work precisely without defining the performance indicators to control all business process. This situation encourages the need for information and data analysis availability. BI includes applications, infrastructure, tools and practices that enable organizations to access and analyze data and information to improve and optimize the decisions and organization performance. BI has the potential to improve the quality, efficiency and effectiveness of hospital health services as well. The objective of this study was to design business intelligence prototype for the hospital. BI design was carried out with a Business Intelligence Roadmap approach which has 6 main stages, namely: (1) Justification, (2) Planning, (3) Business Analysis, (4) Design, (5) Construction and (6) Deployment. Data were collected from hospital activities includes registration, Electronic Medical Record (EMR) in the Imaging, Laboratory, Pharmacy, Operating Theater and Medical Check-Up departments activities. Designing BI was preceded by identifying technical and non-technical needs, then continued by designing BI itself. BI roadmap approach was used for this propose. Technical requirements for designing BI include hardware and software infrastructure readiness, while non-technical requirements include Business Analysis which consists of Project Requirements Definition, Data Analysis, Application Prototyping and Metadata repository Analysis. Designing BI itself includes: Designing a multidimensional database and designing ETL. The user interfaces for  BI was shown in the Performance Dashboard, which allows organizations to track all aspects of their daily business activities and performance.
Co-Authors Elfreida, Natalya Eli Suryani Emerald, Davies Ezra Firmansyah Firmansyah Hasri, Raja Alan Julisar, Julisar Julisar, Julisar Lokanatha, Ivander G. M Bhatti, Faqir Marsha Rudy Rudy Suryawan, Josep Benedictus Wahyu Nugroho Yonathan, Hans